Triple
T9030246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SMPTE ST 2084 |
E216149
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object | HDR10 |
E323797
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: HDR10 | Statement: [SMPTE ST 2084, usedIn, HDR10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HDR10 Context triple: [SMPTE ST 2084, usedIn, HDR10]
-
A.
HDR10
chosen
HDR10 is an open high-dynamic-range video standard that uses static metadata to deliver enhanced brightness, contrast, and color compared to standard dynamic range content.
-
B.
Dolby Vision
Dolby Vision is a high-dynamic-range (HDR) imaging technology that enhances video with greater brightness, contrast, and color accuracy for a more lifelike viewing experience.
-
C.
HDR
HDR is the commonly used abbreviation for the United Nations Development Programme’s annual Human Development Report, which assesses global progress in human development beyond economic growth alone.
-
D.
SMPTE ST 2084
SMPTE ST 2084 is a high-dynamic-range (HDR) electro‑optical transfer function standard, also known as Perceptual Quantizer (PQ), widely used in modern HDR video systems such as HDR10 and Dolby Vision.
-
E.
ProRes
ProRes is a high-quality, high-performance video compression format developed by Apple and widely used in professional video production and post‑production workflows.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a9e0aa881908886f453c51ecd0e |
completed | April 1, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbc662208190a3f4e6e593208c5c |
completed | April 3, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:08 p.m.